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2. Efficient and Accurate Motion Tracking and its Applications within the Internet of Things Design Space

open_access
Open Access
Author:
Gardner, Kevin
Title:
Efficient and Accurate Motion Tracking and its Applications within the Internet of Things Design Space
Area of Honors:
Computer Engineering
Keywords:
ASL
ASLLVD
CNN
HRI
IMU
LSTM
Monocular RGB
RGB-D
RNN
American Sign Language
American Sign Language Large Video Dataset
Convolutional Neural Network
Human Robot Interaction
Inertial Measurement Unit
Long Short-Term Memory RNN
Recurrent Neural Network
File:
Download Thesis_Final_Draft.pdf
Thesis Supervisors:
Mahanth Gowda, Thesis Supervisor
John Morgan Sampson, Thesis Honors Advisor